New graphical models for sequential data and the improved state estimations by data-conditioned driving noises
Sign Up to like & getrecommendations! Published in 2024 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-024-01145-z
Abstract: A prevalent problem in statistical signal processing, applied statistics, and time series analysis arises from the attempt to identify the hidden state of Markov process based on a set of available noisy observations. In the… read more here.
Keywords: data improved; models sequential; new graphical; sequential data ... See more keywords
Unsupervised Probabilistic Models for Sequential Electronic Health Records
Sign Up to like & getrecommendations! Published in 2022 at "Journal of biomedical informatics"
DOI: 10.48550/arxiv.2204.07292
Abstract: We develop an unsupervised probabilistic model for heterogeneous Electronic Health Record (EHR) data. Utilizing a mixture model formulation, our approach directly models sequences of arbitrary length, such as medications and laboratory results. This allows for… read more here.
Keywords: unsupervised probabilistic; electronic health; models sequential; model ... See more keywords